Jobs at Datadog

Own the roadmap for Infrastructure-as-Code detection capabilities that identify high-impact infrastructure, cost, blast-radius, and configuration changes before production deployment. Define user experiences across Datadog and developer workflows, collaborate with Engineering, Design, AI, and customers, drive adoption and product-market fit, and establish quality standards for coverage, correctness, and user trust.

Manage customer incidents and escalations from response through resolution, coordinating technical stakeholders and communications during sensitive or large-scale events. Implement monitoring, troubleshoot recurring cloud infrastructure issues, improve operational processes, document lessons learned, deliver incident-management training, lead improvement projects, and mentor peers. The role requires incident-management experience, technical support or IT experience, cloud familiarity, scripting knowledge, and strong cross-functional problem-solving skills.

Manage and mentor a team of Commercial Account Executives, driving sales strategy, forecasting, lead generation, pipeline management, and performance improvement. Responsibilities include hiring, training, onboarding, coaching, monitoring the sales funnel, and ensuring the team exceeds objectives in a high-growth SaaS and cloud marketplace.

Manage marketing campaign operations and Datadog’s global email program for the APJ team. Responsibilities include building and quality-assuring Marketo emails, supporting multichannel campaigns, segmenting audiences, reporting campaign performance, recommending optimization opportunities, coordinating stakeholders, resolving calendar and audience conflicts, and ensuring email compliance. The role requires strong organization, communication, analytical ability, and effective management of multiple deadlines.

Provide technical expertise throughout the sales cycle through presentations, product demonstrations, trials, and proofs of value. Partner with sales teams to communicate Datadog’s value proposition, technically close complex opportunities, resolve customer concerns, document CRM feedback, and share product and competitive insights. The role supports customers in Indonesia and requires Bahasa Indonesia and English fluency, programming or scripting experience, and travel up to 25%.

Prospect and close enterprise sales opportunities with higher education organizations across a national territory. The role owns territory relationship maps, develops customer business expertise, negotiates pricing and value, expands existing accounts, builds pipeline, identifies opportunity drivers, manages customer expectations, and maintains accurate forecasts. Regular travel to client sites is required. Candidates should have 5+ years of closing experience, success with $800K+ sales targets and $50K+ average deals, and experience selling SaaS, IT infrastructure, or similar technology to state, local, and education organizations.

Own technical customer engagements throughout the sales cycle, including discovery, presentations, product demonstrations, and proof-of-concept evaluations. Partner with Customer Success Managers and cross-functional teams to connect customer objectives with Datadog solutions, resolve technical blockers, and build trusted stakeholder relationships. The role also involves managing multiple evaluations, sharing best practices, mentoring newer Sales Engineers, and supporting enablement initiatives.

Leads technical sales strategy for enterprise accounts, guiding discovery, product demonstrations, solution workshops, and end-to-end technical evaluations. Partners with account executives, influences executive and technical stakeholders, develops champions, resolves customer blockers, and translates Datadog capabilities into measurable business outcomes. The role also contributes to product feedback, operational excellence, peer mentoring, and regional enablement. Requires advanced cloud, Kubernetes, observability, security, and developer-experience expertise, with customer travel as needed.

Lead the design and delivery of AI-powered Notebook experiences, combining deterministic systems with LLM capabilities. Build reliable backend services, context-discovery and analysis platforms, and integrations with third-party AI agents. Partner with product and design to connect technical decisions to customer outcomes, establish AI engineering practices, mentor engineers, and operate production systems supporting customer deployments.

Design and deliver AI-powered experiences for Datadog Notebooks. Build reliable backend services integrating LLMs and AI agents, manage model nondeterminism with evaluation/testing frameworks, partner with product/design, provide technical leadership, and operate production systems (on-call).

Lead the design and delivery of AI-powered Notebook experiences, including reliable LLM-integrated workflows, context discovery, and integrations with third-party AI platforms. Partner with product and design, translate customer needs into technical solutions, mentor engineers, establish AI engineering practices, and operate production backend services. Build evaluation, testing, and operational strategies to manage model non-determinism and deliver trustworthy customer outcomes.

The Commercial Account Executive drives net-new customer acquisition in small to midsize markets. Responsibilities include outbound prospecting, full-cycle sales, technical demonstrations, negotiation, account mapping, and collaboration with Sales Development Representatives. The role requires engaging CTOs, engineering and IT leaders, learning Datadog’s observability and security products, carrying quota, and consistently achieving sales results in a technical, fast-paced environment.

Deliver onboarding, ongoing training, reinforcement, coaching, and certification programs for Sales and Customer Success teams across AMER. Partner with sales leaders and cross-functional enablement teams to adapt global programs, diagnose field needs, facilitate live and virtual sessions, and drive measurable behavior change. Use field feedback, performance data, project management tools, and AI to improve enablement effectiveness. The role requires strong facilitation, sales methodology knowledge, technology industry familiarity, relationship-building, independent execution, and approximately 25% travel.

Supports enterprise sales leadership across the Americas by analyzing business performance, identifying revenue and sales-effectiveness opportunities, planning headcount and territories, managing KPIs, and executing strategic initiatives. Partners with Sales, Marketing, Customer Success, and other teams on operating rhythms, forecasting, QBRs, process improvements, and cross-functional projects. Requires strong analytical, communication, stakeholder-management, and problem-solving skills, plus experience in GTM operations, consulting, investment banking, or SaaS.

The Sales Revenue Analyst supports global sales commissions and new business revenue recognition. Responsibilities include optimizing commission strategies, analyzing incentive plans, reviewing deal structures and pricing, maintaining reporting for quotas and territories, developing sales compensation programs, and improving revenue and CRM dashboards. The role partners with Sales, Finance, Growth, Strategy, and senior leadership to deliver scalable operational and analytical solutions.

Provides supervised technical support for employees, including laptop deployment and collection, account management, troubleshooting, ticketing, inventory maintenance, documentation, conference-room communications, MFA/MDM support, access management, and basic security incident response. The intern participates in orientations, team meetings, and knowledge-sharing while developing practical IT support and SaaS workflow skills during a six-month academic internship.

Software Engineering Interns will contribute to Datadog’s production systems across backend, frontend, infrastructure, data engineering, and developer tooling. Responsibilities include building distributed systems, processing large-scale observability data, improving performance and reliability, delivering technical projects from design through deployment, and collaborating with mentors. Candidates should be pursuing a relevant technical degree, possess strong computer science fundamentals, know at least one programming language, and be available for a six-month internship beginning in early to mid-2027.

Product Management Interns will support customer discovery, product initiatives, requirements definition, product-data analysis, technical demonstrations, and product communications. They will collaborate with Engineering, Design, and Product Marketing while developing expertise in Datadog’s observability platform and cloud infrastructure products.

Software Engineering Interns contribute to Datadog’s observability and security platform by building and improving backend, frontend, infrastructure, data engineering, and developer tooling systems. Responsibilities include developing distributed and cloud-native services, addressing performance and scalability challenges, delivering technical projects from design through deployment, and collaborating with experienced engineers and mentors.

Software Engineering Interns build and scale Datadog’s observability and security platform. Responsibilities include developing backend, frontend, infrastructure, data engineering, and developer tooling systems; addressing performance, reliability, and scalability challenges; and delivering technical projects from design through deployment with mentorship. Interns work with distributed systems, Kubernetes, cloud-native services, and real-time processing of large-scale metrics, logs, and application data.